DIOR presents a long-range indoor-outdoor gait data collection and annotation framework for person re-identification. The work combines 3D computer vision and learning-based components to generate 3D/2D skeleton gait labels from indoor motion-capture settings and outdoor long-range camera views, supporting evaluation of recognition methods beyond face-only biometrics.